ESG and agile transformation: how technology accelerates this agenda

The Environmental, Social and Governance (ESG), contrary to what some people think, is not a “nice to have” topic in the annual report; on the contrary, it is a strategic factor that determines competitiveness and access to capital. According to McKinsey, more than 90% of large companies publish ESG reports. At the same time, the volume of investments focused on ESG strategies is projected to grow to nearly $34 trillion by 2026.

Currently, ESG is a driver of performance, risk management, and long-term value creation. In this article, you will see what the pillars that support ESG are, how to measure and integrate ESG indicators into business intelligence, the role of technology in automating ESG data, and how to structure a good plan. Happy reading! 

What does ESG mean and what are its pillars?

ESG stands for Environmental, Social, and Governance, translating to Ambiental, Social e Governança. The concept represents a set of criteria used to measure a company’s impact and responsibility regarding the environment, society, and its corporate governance.

ESG has become a indicator of sustainability and long-term performance, increasingly considered by investors, regulators, consumers, and business partners.

The structure of ESG is supported by three pillars:

Environmental

Refers to the company’s impact on the environment. It includes actions related to natural resource management, carbon emissions, energy efficiency, waste management, water usage, and biodiversity preservation. For example, companies that adopt carbon-neutral policies or implement circular economy practices in their operations.

Social

Involves how the company interacts with its employees, suppliers, communities, and society at large. It encompasses diversity and inclusion, working conditions, human rights, the social impact of operations, and responsibility in stakeholder relationships. For example, diversity initiatives in the corporate environment or social impact programs focused on education and health in local communities.

Governance

Refers to corporate leadership and management structure. It includes transparency, business ethics, anti-corruption practices, board composition and functioning, executive remuneration, and independent audits. For example, companies with strict compliance policies and boards with diverse profiles and independence.

What is the difference between sustainable initiatives and an ESG approach?

Although related, sustainability and ESG are not synonymous. The difference lies in the scope, governance, and the way these actions are structured and measured.

Sustainable initiatives

For decades, companies have adopted sustainable practices such as recycling, energy conservation, conscious water use, or carbon offsetting. These actions are important but often occur in isolation, without integration with business strategy or clear impact indicators.

ESG

ESG is a management framework that connects environmental, social, and governance practices to business value generation. Companies that adopt ESG integrate these criteria into their financial reports, executive remuneration, strategic planning, and investment decisions in technology, people, and innovation.

In summary: 

How does technology aid in consolidating ESG strategies?

Technology is a enabler and accelerator of ESG strategies. It allows companies to move from rhetoric to structured, measurable, and scalable actions—exactly what differentiates a robust ESG program from generic or isolated initiatives.

See how this translates into practice for each pillar:

Environmental: Monitoring and efficiency based on data

Technologies like IoT (Internet of Things), remote sensing, and real-time analytics allow for the accurate measurement of emissions, energy consumption, water usage, and other environmental indicators.

Social: Inclusion, traceability, and social impact

HR platforms and diversity data help monitor inclusion indicators, organizational climate, and human development. Additionally, blockchain and supply chain analytics solutions providetraceability of ethical practices among suppliers and partners.

Governance: Transparency, compliance, and automation

Tools for data governance, risk management, compliance, and automated auditing strengthen the integrity of operations. Technologies like RPA (Robotic Process Automation) help ensure compliance at scale.

The consolidation of ESG requires data infrastructure, connectivity, automation, and analytical intelligence. No wonder technology leaders—like CIOs, CTOs, and CDOs—are becoming more involved in ESG committees and decisions that were once restricted to legal or institutional areas. In practice, without technology, ESG does not scale.

What digital solutions transform how companies monitor and report ESG indicators?

The measurement and reporting of ESG indicators represent one of the biggest challenges for companies looking to turn commitments into verifiable actions. Dispersed data, lack of standardization among units, absence of traceability, and difficulties in meeting regulatory requirements make the process complex, slow, and error-prone.

With the advancement of digital solutions, this scenario is changing. Companies can now automate data collection, ensure traceability, and generate auditable reports in real time, strengthening transparency, governance, and stakeholder trust.

See the main categories of technologies that are transforming this management:

ESG Management Platforms (GRC/ESG Platforms)

Specialized solutions like Sphera, Diligent ESG, EcoVadis, Enablon, and Intelex allow for the consolidation of ESG indicators in a single environment, with functionalities for:

• Automated collection of operational and financial data;
• Emission calculations (scopes 1, 2, and 3);
• Traceability of actions by business unit;
• Generating reports according to standards like GRI, SASB, TCFD, and ISSB.

BI Tools and Analytics for ESG

Platforms like Power BI, Tableau, and Looker have gained traction in ESG committees due to the ability to create interactive dashboards with environmental, social, and governance KPIs.

• Integration with ERPs and operating systems;
• Visualization of indicators such as water consumption, diversity, turnover, emissions;
• Monitoring by unit, project, supplier, or product line.

IoT and Environmental Sensors

Technologies like IoT and remote sensing allow for the capture of environmental data directly from operations—with precision, frequency, and scalability.

• Real-time emissions measurement;
• Monitoring of waste and water usage;
• Alerts for deviations from environmental standards.

RPA and Compliance Automation

RPA bots are used to collect documents, update databases, and fill out ESG compliance reports with internal and external sources.

What are the benefits of integrating ESG metrics into business intelligence?

Integrating ESG metrics into Business Intelligence (BI) means treating environmental, social, and governance data as part of the company’s core strategy, rather than as a parallel report or merely a regulatory requirement, which is still very common in companies. 

This integration brings tangible benefits at different levels of operations and management:

More strategic decisions based on sustainable data

By including ESG indicators in BI dashboards, executives can evaluate the financial and non-financial impact of decisions. This allows balancing profitability goals with social and environmental responsibility objectives.

Example: by crossing product margin data with CO₂ emissions in the supply chain, a manufacturer can identify opportunities for sustainable gains—replacing suppliers without compromising profit.

Increased attractiveness to investors and stakeholders

Organizations that demonstrate ESG maturity with structured data tend to attract more capital and strategic partners. Institutional investors and impact funds prioritize companies with clear ESG metrics integrated into the business.

Example: a company that presents its diversity and carbon footprint indicators directly in management dashboards demonstrates consistency between speech and practice—something valued in audits and investment rounds.

Early detection of ESG risks

By monitoring indicators in real-time, companies can identify deviations and regulatory, reputational, or operational risks before they become critical.

Example: if turnover rates rise significantly at a particular manufacturing plant, and BI indicates a decline in internal satisfaction, the company can act before this escalates into a labor or image problem.

Operational efficiency with a sustainable bias

Integrating ESG into BI allows the organization to optimize resources, reduce waste, and act preventively, not just reactively.

Example: a retailer monitoring energy consumption by store and correlating it with average ticket size can adjust operating hours and climate control systems to reduce costs and environmental impact.

Internal engagement with accessible data

When ESG metrics are visible and comparable through BI, they cease to be “the upper management’s business” and become shared objectives across the organization. This encourages culture, collaboration, and innovation around sustainability.

How to ensure that ESG principles are incorporated from planning to delivery?

For ESG to generate real and enduring value, it needs to be more than a series of initiatives. A study by Science Direct shows that higher ESG performance is associated with greater effectiveness in value creation, especially through reducing operational risks and strengthening stakeholder trust.

In this context, ensuring that ESG principles are incorporated from planning to delivery requires a transversal approach, with five fundamental pillars:

Clear and transversal governance

Establish an ESG committee involving leaders from various areas: technology, operations, legal, HR, finance, and sustainability. Governance should ensure that ESG guidelines guide decisions from strategic planning to team OKRs.

Practical Tip: tie part of the variable remuneration of leaders to achieving ESG goals.

ESG Criteria in Business Processes

Incorporate ESG criteria into existing workflows: product development, supplier selection, budget definition, and project prioritization.

Alignment with Data Architecture and Technology

From the beginning, define how ESG data will be collected, processed, and made available. This avoids rework and ensures that the indicators are ready for auditing and performance analysis.

Tools like Data Catalog, BI, GRC platforms, and RPA should be planned as enablers of this journey.

Engagement of Internal and External Stakeholders

Include ESG in onboarding journeys for employees, supplier contracts, and performance reports. The more integrated the theme is into the company’s communication and relationships, the higher the adherence will be.

Continuous Evaluation and Improvement Cycle

Monitor, learn, and adjust. ESG priorities evolve as regulatory landscapes, social demands, and climate changes occur. Periodic review processes ensure that deliveries are always aligned with the company’s and market’s current state.

How can partnering with technology companies accelerate the ESG maturity of large organizations?

Consolidating an effective ESG strategy requires more than good intentions—it requires reliable data, digitized processes, and scalable tools. In this scenario, partnerships with technology companies become a competitive differentiator.

They help to:

• Diagnose the current ESG maturity;
• Structure data and auditable indicators;
• Automate critical processes;
• Integrate ESG into data architecture and digital strategy.

At Objective, we combine business vision, technology expertise, and governance knowledge to help large organizations scale ESG efficiently and securely. Talk to our specialists and find out how we can help you.